From the Python manual. string.find(s, sub[, start[, end]]) Return the lowest index in s where the substring sub is found such that sub is wholly contained in s[start:end]. Return -1 on failure. Defaults for start and end and interpretation of negative values is the same as for slices. And: string.index(s, sub[, start[, end]])
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Functions, in Python, are first class objects - which means you can pass a function as an argument to another function, and return functions. Decorators do both of these things. If we stack decorators, the function, as defined, gets passed first to the decorator immediately above it, then the next, and so on.
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In Python this is simply =. To translate this pseudocode into Python you would need to know the data structures being referenced, and a bit more of the algorithm implementation. Some notes about psuedocode::= is the assignment operator or = in Python = is the equality operator or == in Python ; There are certain styles, and your mileage may vary:
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From the Python 3 docs: The power operator has the same semantics as the built-in pow() function, when called with two arguments: it yields its left argument raised to the power of its right argument. The numeric arguments are first converted to a common type, and the result is of that type. It is equivalent to 2 16 = 65536, or pow(2, 16)
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It's an operator in Python that can mean several things depending on the context. A lot of what follows was already mentioned (or hinted at) in the other answers but I thought it could be helpful to provide a more extensive summary. % for Numbers: Modulo operation / Remainder / Rest. The percentage sign is an operator in Python. It's described as:
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Use break and continue to do this. Breaking nested loops can be done in Python using the following: for a in range(...): for b in range(..): if some condition: # break the inner loop break else: # will be called if the previous loop did not end with a `break` continue # but here we end up right after breaking the inner loop, so we can # simply break the outer loop as well break
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math.isfinite was not introduced until Python 3.2, so given the answer from @DaveTheScientist was posted in 2012 it was not exactly"reinvent[ing] the wheel" - solution still stands for those working with Python 2. –
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Python is dynamically, but strongly typed, and other statically typed languages would complain about comparing different types. There's also the else clause: # This will always print either"hi" or"no hi" unless something unforeseen happens. if hi =="hi": # The variable hi is being compared to the string"hi", strings are immutable in Python, so you could use the 'is' operator.
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In Python 3.x, iteritems() was replaced with simply items(), which returns a set-like view backed by the dict, like iteritems() but even better. This is also available in 2.7 as viewitems() . The operation items() will work for both 2 and 3, but in 2 it will return a list of the dictionary's (key, value) pairs, which will not reflect changes to the dict that happen after the items() call.
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Simply put, the ++ and --operators don't exist in Python because they wouldn't be operators, they would have to be statements. All namespace modification in Python is a statement, for simplicity and consistency. That's one of the design decisions. And because integers are immutable, the only way to 'change' a variable is by reassigning it.
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